Description
Description: This module demystifies data by teaching students to gather, clean, and visualize information for real class assignments. They import small datasets into a notebook environment and practice describing what each column represents. Students fix common issues like extra spaces, inconsistent capitalization, and missing values. They compute simple statistics such as averages and medians to support arguments in essays. Charts are introduced thoughtfully with guidance on when to use bar, line, or scatter plots. Learners export clean tables to spreadsheets so group members can edit and cite them easily. They practice writing captions that explain what a chart shows and what it does not prove. A mini-ethics unit covers privacy, sampling bias, and honest presentation choices. The final milestone is a one-page findings brief with a clear question, method, and result chart. This builds confidence for science fairs, social studies reports, and math projects.
Format: Notebook-based lessons + CSV practice files + slide and brief templates (PDF)
Duration: 3–4 weeks (self-paced)
What You’ll Learn: Data cleaning, descriptive stats, charting, spreadsheet collaboration, ethical reporting
Target Audience: Grades 7–11 students who want to use data credibly in schoolwork
